Run: 2026-02-25-01KJBFXGC4DS71AANB4SKEYMY5

Run Details

Duration:
1m 17s
Cost:
$0.039474
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
0.00% Matches word count (details)
99.44% Dialogue to Total Word Ratio (details)
49.7189% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The van smelled of stale coffee and desperation. Molly adjusted her glasses, staring at the photograph of the suburban house. A pink balloon floated in the corner of the shot, mocking their criminal intent. Bill sat in the passenger seat, checking his lockpicks for the third time. The engine idled roughly, vibrating through the worn leather seats. He noticed the balloon in the photo and asked about the unicorn. The cold air seeped through the cracked window, chilling the sweat on his brow. Molly pointed at the blueprint. The house looked innocent enough, with its manicured lawn and white picket fence. It was a perfect target for amateurs, but they were not amateurs. "Is that a unicorn?" "It's a target, Bill. A very expensive target." "We're stealing from kids? Really?" "The parents bought them. The kids haven't opened them yet. Technically, it's unclaimed property." "Technically, it's also a felony involving minors." "Don't be a buzzkill. Look at the layout." Molly tapped the blueprint spread across the dashboard. "The tree is in the living room. The presents are piled under it. We slip in through the kitchen, grab the loot, and vanish before the cake cutting." "What about the security system?" "Disabled. I hacked the Ring camera. It's looping footage of a sleeping cat." Bill scratched his chin. "And the parents?" "Drunk on eggnog. They won't notice until morning." "Molly, this feels wrong." "It feels like a payout, Bill. Do you want to eat ramen again tonight?" He sighed. "No more ramen." "Exactly. Now, gear up." Molly grabbed her duffel bag. "We need the grab-and-go strategy. No wrapping paper left behind. We take the boxes, not the toys. Less noise." "They'll be asleep. It's a birthday party. They crash hard." The van engine hummed to life. Molly put the car in gear. Bill checked the rearview mirror one last time before turning the key. The engine roared to life, shaking the entire vehicle. They drove off into the night, leaving the neighborhood behind. The plan was solid. The execution was questionable. But the money was real. Molly gripped the wheel, her knuckles white against the black leather. Molly's hands trembled slightly, but she hid it well. She knew the risks involved in such a heist. She thought about the unicorn again. It seemed judgmental. Bill shifted in the passenger seat. They were professionals, or at least they pretended to be. The stakes were high, but the moral implications were lower than the price of a cheap toy. They turned the corner, headlights cutting through the darkness like a predator's eyes. The silence in the van was heavy, broken only by the hum of the engine. Outside, the wind howled, masking the sound of their approach. Molly checked her reflection in the rearview mirror. Her eyes were tired, but determined. Bill looked at the road, his face illuminated by the dashboard lights. He wondered if the parents would notice the missing gifts. He hoped not. The guilt was already settling in his stomach like a stone. But the rent was due. And the ramen was gone. The streetlights flickered overhead, casting long shadows across the dashboard. The tires crunched over gravel as they approached the curb.
created_at"2026-02-25T22:50:04.043Z" 2/25/2026, 10:50:04 PM
model"qwen/qwen3.5-122b-a10b-20260224"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency417
moderation_latency(null)
generation_time77192
tokens_prompt77
tokens_completion11979
native_tokens_prompt76
native_tokens_completion12326
native_tokens_completion_images(null)
native_tokens_reasoning11610
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0394736
router(null)
provider_responses
0
endpoint_id"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id"chatcmpl-84f6929a-376a-9eb9-a1dc-fb6596077386"
is_byokfalse
latency417
model_permaslug"qwen/qwen3.5-122b-a10b-20260224"
provider_name"Alibaba"
status200
api_type"completions"
id"gen-1772059804-N0DIUnHQmk9WsRr6QsMm"
upstream_id"chatcmpl-84f6929a-376a-9eb9-a1dc-fb6596077386"
total_cost0.0394736
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"

Evaluation details

Result Evaluator Details Meta Data
0.00% Matches word count n/a
neededCleanfalse
words534
99.44% Dialogue to Total Word Ratio
Ratio: 29.66%, Deviation: 0.34%
neededCleanfalse
wordsTotal536
wordsDialogue159
49.7189%